Guided Self-Organization: Inception - Couverture souple
Livre 5 sur 44: Emergence, Complexity and Computation
Synopsis
Is it possible to guide the process of self-organisation towards specific patterns and outcomes? Wouldn’t this be self-contradictory? After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control. Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process?
This book presents different approaches to resolving this paradox. In doing so, the presented studies address a broad range of phenomena, ranging from autopoietic systems to morphological computation, and from small-world networks to information cascades in swarms. A large variety of methods is employed, from spontaneous symmetry breaking to information dynamics to evolutionary algorithms, creating a rich spectrum reflecting this emerging field.
Demonstrating several foundational theories and frameworks, as well as innovative practical implementations, Guided Self-Organisation: Inception, will be an invaluable tool for advanced students and researchers in a multiplicity of fields across computer science, physics and biology, including information theory, robotics, dynamical systems, graph theory, artificial life, multi-agent systems, theory of computation and machine learning.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
This volume covers the latest developments in the field, with in-depth reviews of upcoming research aimed at resolving the paradox of placing guiding elements so that they don’t override the richness of choices identified by an uncontrolled process.
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Guided Self-Organization: Inception (eng)
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Guided Self-Organization: Inception (Emergence, Complexity and Computation, 9)
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Guided Self-Organization: Inception
Edité par
Springer Berlin Heidelberg Sep 2016, 2016
ISBN 10 : 3662523922
ISBN 13 : 9783662523926
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Is it possible to guide the process of self-organisation towards specific patterns and outcomes Wouldn't this be self-contradictory After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control. Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process This book presents different approaches to resolving this paradox. In doing so, the presented studies address a broad range of phenomena, ranging from autopoietic systems to morphological computation, and from small-world networks to information cascades in swarms. A large variety of methods is employed, from spontaneous symmetry breaking to information dynamics to evolutionary algorithms, creating a rich spectrum reflecting this emerging field.Demonstrating several foundational theories and frameworks, as well as innovative practical implementations, Guided Self-Organisation: Inception, will be an invaluable tool for advanced students and researchers in a multiplicity of fields across computer science, physics and biology, including information theory, robotics, dynamical systems, graph theory, artificial life, multi-agent systems, theory of computation and machine learning. 500 pp. Englisch. N° de réf. du vendeur 9783662523926
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Guided Self-Organization: Inception
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Springer Berlin Heidelberg, 2016
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ISBN 13 : 9783662523926
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Couverture souple
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Guided Self-Organization: Inception (Emergence, Complexity and Computation)
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Guided Self-Organization: Inception (Emergence, Complexity and Computation)
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Guided Self-Organization: Inception
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Taschenbuch. Etat : Neu. Guided Self-Organization: Inception | Mikhail Prokopenko | Taschenbuch | xxii | Englisch | 2016 | Springer-Verlag GmbH | EAN 9783662523926 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 103162607
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Guided Self-Organization: Inception (Emergence, Complexity and Computation)
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Guided Self-Organization: Inception
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Sep 2016, 2016
ISBN 10 : 3662523922
ISBN 13 : 9783662523926
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Is it possible to guide the process of self-organisation towards specific patterns and outcomes Wouldn¿t this be self-contradictory After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control.Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process This book presents different approaches to resolving this paradox.In doing so, the presented studies address a broad range of phenomena, ranging from autopoietic systems to morphological computation, and from small-world networks to information cascades in swarms.A large variety of methods is employed, from spontaneous symmetry breaking to information dynamics to evolutionary algorithms, creating a rich spectrum reflecting this emerging field.Demonstrating several foundational theories and frameworks, as well as innovative practical implementations, Guided Self-Organisation: Inception, will be an invaluable tool for advanced students and researchers in a multiplicity of fields across computer science, physics and biology, including information theory, robotics, dynamical systems, graph theory, artificial life, multi-agent systems, theory of computation and machine learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 500 pp. Englisch. N° de réf. du vendeur 9783662523926
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Guided Self-Organization: Inception
Edité par
Springer Berlin Heidelberg, 2016
ISBN 10 : 3662523922
ISBN 13 : 9783662523926
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Is it possible to guide the process of self-organisation towards specific patterns and outcomes Wouldn't this be self-contradictory After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control. Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process This book presents different approaches to resolving this paradox. In doing so, the presented studies address a broad range of phenomena, ranging from autopoietic systems to morphological computation, and from small-world networks to information cascades in swarms. A large variety of methods is employed, from spontaneous symmetry breaking to information dynamics to evolutionary algorithms, creating a rich spectrum reflecting this emerging field.Demonstrating several foundational theories and frameworks, as well as innovative practical implementations, Guided Self-Organisation: Inception, will be an invaluable tool for advanced students and researchers in a multiplicity of fields across computer science, physics and biology, including information theory, robotics, dynamical systems, graph theory, artificial life, multi-agent systems, theory of computation and machine learning. N° de réf. du vendeur 9783662523926
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